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By combining robotics, automation, and artificial intelligence (AI), Maryland Engineering researchers and students are building solutions that can help save lives, protect property, and safeguard the environment.

The state's largest health care systems have already incorporated the technology into certain areas of practice, but many small providers are wary.

To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.

Medical errors are the third leading cause of death in the U.S., contributing to over 250,000 preventable deaths each year. NeuralCure AI is tackling this crisis head-on by eliminating diagnostic blind spots and accelerating treatment precision with its cutting-edge AI-driven decision support system.

The new Microsoft Dragon Copilot solution leverages generative AI-powered ambient listening voice recognition to automate clinical documentation, enhance administrative efficiency and allow clinicians to focus on patient care. Kyndryl will begin offering Dragon Copilot in its healthcare services portfolio beginning in May 2025.

Microsoft has announced Microsoft Dragon Copilot, an AI system for healthcare that can, among other things, listen to and create notes based on clinical visits. The system combines voice-dictating and ambient listening tech created by AI voice company Nuance, which Microsoft bought in 2021.

The use of LLMs in healthcare involves sensitive patient data, making privacy a critical concern. Data leakage, unauthorized information retention, and vulnerabilities to adversarial attacks pose significant risks to patient confidentiality.

Artificial intelligence (AI) is making its way into the world of healthcare, assisting doctors with complex medical decisions. Large language models (LLMs), such as ChatGPT